The ALICE experiment: a journey through QCD
ALICE Collaboration alice-publications@ cern … - The European Physical …, 2024 - Springer
The ALICE experiment was proposed in 1993, to study strongly-interacting matter at extreme
energy densities and temperatures. This proposal entailed a comprehensive investigation of …
energy densities and temperatures. This proposal entailed a comprehensive investigation of …
Heavy quarks and jets as probes of the QGP
L Apolinário, YJ Lee, M Winn - Progress in Particle and Nuclear Physics, 2022 - Elsevier
Abstract Quark–Gluon Plasma (QGP), a QCD state of matter created in ultra-relativistic
heavy-ion collisions, has remarkable properties including, for example, a low shear viscosity …
heavy-ion collisions, has remarkable properties including, for example, a low shear viscosity …
The ALICE experiment: a journey through QCD
ALICE collaboration - European Physical Journal C, 2024 - jyx.jyu.fi
The ALICE experiment was proposed in 1993, to study strongly-interacting matter at extreme
energy densities and temperatures. This proposal entailed a comprehensive investigation of …
energy densities and temperatures. This proposal entailed a comprehensive investigation of …
Studying the QGP with Jets at the LHC and RHIC
L Cunqueiro, AM Sickles - Progress in Particle and Nuclear Physics, 2022 - Elsevier
We review the current status of jet measurements in heavy-ion collisions at the Large
Hadron Collider (LHC) and the Relativistic Heavy Ion Collider (RHIC). We discuss how the …
Hadron Collider (LHC) and the Relativistic Heavy Ion Collider (RHIC). We discuss how the …
Jet tagging via particle clouds
H Qu, L Gouskos - Physical Review D, 2020 - APS
How to represent a jet is at the core of machine learning on jet physics. Inspired by the
notion of point clouds, we propose a new approach that considers a jet as an unordered set …
notion of point clouds, we propose a new approach that considers a jet as an unordered set …
Particle transformer for jet tagging
Jet tagging is a critical yet challenging classification task in particle physics. While deep
learning has transformed jet tagging and significantly improved performance, the lack of a …
learning has transformed jet tagging and significantly improved performance, the lack of a …
Jet substructure at the Large Hadron Collider: a review of recent advances in theory and machine learning
AJ Larkoski, I Moult, B Nachman - Physics Reports, 2020 - Elsevier
Jet substructure has emerged to play a central role at the Large Hadron Collider (LHC),
where it has provided numerous innovative new ways to search for new physics and to …
where it has provided numerous innovative new ways to search for new physics and to …
Energy flow networks: deep sets for particle jets
A bstract A key question for machine learning approaches in particle physics is how to best
represent and learn from collider events. As an event is intrinsically a variable-length …
represent and learn from collider events. As an event is intrinsically a variable-length …
Looking inside jets
The study of the internal structure of hadronic jets has become in recent years a very active
area of research in particle physics. Jet substructure techniques are increasingly used in …
area of research in particle physics. Jet substructure techniques are increasingly used in …
An efficient Lorentz equivariant graph neural network for jet tagging
A bstract Deep learning methods have been increasingly adopted to study jets in particle
physics. Since symmetry-preserving behavior has been shown to be an important factor for …
physics. Since symmetry-preserving behavior has been shown to be an important factor for …